Concept
Polynomial regression
Related publications (144)
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Lausanne2024Quantifying the Unknown: Data-Driven Approaches and Applications in Energy Systems
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Climate-change-induced extreme weather events increase heat-related mortality and health risks for urbanites, which may also affect urbanites’ expressed happiness (EH) and well-being. However, the links among EH, climate, and socioeconomic factors remain u ...
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We consider stochastic approximation for the least squares regression problem in the non-strongly convex setting. We present the first practical algorithm that achieves the optimal prediction error rates in terms of dependence on the noise of the problem, ...
2022Minimax rate for optimal transport regression between distributions
Victor Panaretos, Laya Ghodrati
Distribution-on-distribution regression considers the problem of formulating and es-timating a regression relationship where both covariate and response are probability distributions. The optimal transport distributional regression model postulates that th ...
ELSEVIER2022Validation of a Non-invasive Inverse Problem-Solving Method for Stroke Volume
Nikolaos Stergiopoulos, Georgios Rovas, Vasiliki Bikia, Stamatia Zoi Pagoulatou, Emma Marie Roussel
Stroke volume (SV) is a major biomarker of cardiac function, reflecting ventricular-vascular coupling. Despite this, hemodynamic monitoring and management seldomly includes assessments of SV and remains predominantly guided by brachial cuff blood pressure ...
FRONTIERS MEDIA SA2022In vivo magnetic resonance P-31-Spectral Analysis With Neural Networks: 31P-SPAWNN
Lijing Xin, François Lazeyras, Sébastien Courvoisier, Julien Songeon
Purpose: We have introduced an artificial intelligence framework, 31P-SPAWNN, in order to fully analyze phosphorus-31 (P-31) magnetic resonance spectra. The flexibility and speed of the technique rival traditional least-square fitting methods, with the per ...
WILEY2022In vivo macromolecule signals in rat brain 1 H‐MR spectra at 9.4T: Parametrization, spline baseline estimation, and T 2 relaxation times
Lijing Xin, Cristina Ramona Cudalbu, Bernard Lanz, Dunja Simicic, Veronika Rackayová
Purpose Reliable detection and fitting of macromolecules (MM) are crucial for accurate quantification of brain short-echo time (TE) 1H-MR spectra. An experimentally acquired single MM spectrum is commonly used. Higher spectral resolution at ultra-high fiel ...
2021